Group R-CNN for Weakly Semi-supervised Object Detection with Points. (arXiv:2205.05920v1 [cs.CV])

We study the problem of weakly semi-supervised object detection with points
(WSSOD-P), where the training data is combined by a small set of fully
annotated images with bounding boxes and a large set of weakly-labeled images
with only a single point annotated for each instance. The core of this task is
to train a point-to-box regressor on well-labeled images that can be used to
predict credible bounding boxes for each point annotation. We challenge the
prior belief that existing CNN-based …

arxiv cnn cv detection r-cnn semi-supervised